4th of July Fireworks - West Palm Beach

Remote People

Best overall for SMEs that want one flat fee

Founded: 2018
Headquarters: New York City, USA
Price: From $199/employee/month (flat)
Coverage: 150+ countries

Remote People helps companies hire, manage, and pay exceptional remote talent in 150+ countries across a wide range of industries. Unlike many legacy platforms, Remote People combines Employer of Record services with in-house recruitment and executive search, delivering both sourcing and compliance under one roof. With EOR pricing starting from $199 per employee per month, Remote People remains one of the most cost-efficient global hiring partners in 2026.

https://preview.redd.it/62f5wq57ktah1.png?width=1024&format=png&auto=webp&s=6c8df924f25b97846921723eeac954ce44a0eee1

I was going to say - you do the math but Gemini did it for me.

Here's my health report for 500 pages - 1,400 "critical errors"

Yet 510%

So whats going on?

• 90% of SEMRushs "health" failures are complete FUD
  • You do not need a meta description
  • There is no Title length
  • LLMs.txt doesnt matter
  • 301s are 301s deal with it
  • Google doesnt punish you
• Make sure the pages you need working do work

Third-party risk management (TPRM) leaders face a more complex and risky environment in 2026 than they have before. Geopolitical upheavals, increased supply-chain cyberattacks, and new regulations worldwide mean that more boards are looking at their vendors as real risks to their business. This creates an environment where more companies pay closer attention to their vendor dependencies in a bid to protect themselves from the next major threat. 

There’s a version of SEO expertise you can fake — a polished deck, a few client logos, a “we stay on top of trends” line in an about page. And then there’s the version you can’t fake: showing up, day after day, in the actual conversations where SEO and search behavior are happening in real time.

We do the second one. Our co-founder alone is pulling around 1.5 million reads every 28 days on Reddit — not from posting company updates, but from being genuinely active in the communities where SEO, marketing, and search strategy get debated. That’s not a vanity number. It’s the byproduct of a habit that shapes everything we do for clients.

Google has always allowed you to request that content be removed from Google Search via the legal DMCA request form. But in the past year or so, this legal route has become a negative SEO nightmare. Real content, owned by the original publisher and website, has been removed from Google Search due to fraudulent DMCA requests that Google is complying with, even though they are not legit.

The Press Gazette posted about the second time it had content removed from Google over these fraudulent DMCA takedowns. Even Search Engine Land had content removed last March over this fraud and Moz had this happen in 2022. I see complaints about this daily and it seems to be a growing issue.

To be fair, Google did sue over companies weaponizing the DMCA request route in 2023. But honestly, since then, the situation has only become more of an issue. There are even companies blackmailing sites with fake DMCA notices

I was reading questions on Tech SEO and I've seen lots of threads on X where Web Devs seem very focused on "improving" crawlability, indexing and ranking, on optimizing crawling and trying to increase crawling of files (by Google).

Just wanted to get a sense from the community what you all think crawl optimization means, how it works, how you think Google crawls sites and pages, and the impact on indexing and then ranking.

I've been working on a series of videos and explainer videos - thanks for answering

The Core Question: Is GEO Different from Traditional SEO?

The debate centers on a fundamental shift in user behavior. People increasingly turn to LLMs for direct answers instead of clicking through Google’s “shopping mall” of blue links. Vlad Pivnev argues that GEO goes beyond SEO: while traditional SEO gets your site into a list of results, GEO aims to embed your brand directly into the AI-generated answer itself—often without a clickable link or traditional ranking.

The SEO PoV

David Quaid pushes back, viewing it as an extension of strong SEO fundamentals rather than a revolutionary new field. The panel explores whether optimizing for AI visibility requires entirely new tactics or just smarter application of proven strategies.2. How AI Search Engines Actually Work (Query Fan-Out, RAG, and Retrieval)A key technical deep dive explains the mechanics behind AI answers. LLMs use processes like “query fan-out” (breaking a query into multiple sub-queries) and Retrieval-Augmented Generation (RAG) to pull and synthesize information. Unlike Google, which primarily ranks indexed pages, AI systems draw from broader sources—including their training data, web crawls, and real-time searches.

The GEO Argument

The guests debate how much these systems rely on traditional search engines (Google/Bing) versus independent crawling or “memory.” Tests on Perplexity during the episode highlight real-time differences in results.

The Result: GEO is real, but overhyped as a “new discipline”

AI search (LLMs) does behave differently from traditional Google results. Direct citation in generated answers, query fan-out, and reliance on broader signals (reviews, Reddit, PR, brand mentions) matter more than pure ranking. Vlad is right that this creates new opportunities and requirements.

I see people conflate these and this is how I see them in my SEO framework/model

Rank Factors <> Rank Signals.

• Rank Position = Rank Signal X Rank Factor
• Rank "Factors" are multipliers.
• Rank "Signals" are you.

Rank Signals

Hosting, language, Page Title, Text, Schema, Headings, Page Speed, Buttons, internal anchor text

Rank Factors

Topical Authority, External links, CTR, NavBoost,

China’s Zhipu AI (Z.ai) released its open-weight GLM-5.2, and some researchers have claimed that it matches Mythos in certain bug-finding and cybersecurity scenarios. While GLM lags behind models from Anthropic and OpenAI in other, more general tasks, it seems that China has dramatically reduced the gap in the capabilities between its models and those of the US.

This level of advancement is particularly concerning to the US government, which has worked to restrict China’s access to powerful models like Anthropic’s Mythos and Fable, as well as the hardware necessary to train and run them. The Trump administration views Mythos and other advanced AI models capable of identifying vulnerabilities as serious national security threats. Recently, OpenAI unveiled GPT-5.6, which has also raised concerns about its potential for misuse and has limited access to it.

Spent the last couple of months improving mobile performance.

LCP dropped significantly, CLS is almost perfect now, and the site definitely feels faster.

Users seem happier, but rankings barely changed.

Starting to think CWV is more of a minimum expectation than something that actually moves the needle.